Export a custom image to Cloud Storage

If you need to move your Compute Engine boot disk data outside of your Compute Engine project, you can export a boot disk image to Cloud Storage as a tar.gz file. If you need to create a persistent disk image to use when you create new persistent disks on Compute Engine, read Creating a custom image.

You can backup or share a custom image by exporting the image to Cloud Storage. This method is ideal for sharing individual images with projects that don't have access to your images. Alternatively, you can share images by granting the Compute Engine image user role on the image or on the project that contains it.

The following diagram shows some typical workflows for the creation and reuse of a custom image.

Creating and reusing custom images.
Figure 1. Examples of creation and reuse of custom images

Before you begin

  • Read the images page.
  • If the project that you want to export the image from has a trusted image policy defined, add projects/compute-image-import and projects/compute-image-tools to the allowed list of publishers.
  • To find out how to meet requirements before exporting images, see Prerequisites for importing and exporting VM images.
  • If you haven't already, then set up authentication. Authentication is the process by which your identity is verified for access to Google Cloud services and APIs. To run code or samples from a local development environment, you can authenticate to Compute Engine by selecting one of the following options:

    Select the tab for how you plan to use the samples on this page:

    Console

    When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.

    gcloud

    1. Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command: 

      gcloud init

      If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

    2. Set a default region and zone.

    REST

    To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.

      Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command: 

      gcloud init

      If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

    For more information, see Authenticate for using REST in the Google Cloud authentication documentation.

Limitations and restrictions

The following limitations are applicable to the image export process.

General limitations

When you export an image, a session is created on the machine that you are exporting the image from. This session needs to remain active until the export process is complete. If the session terminates before the export process is complete, or if the job fails, ephemeral resources such as temporary disks, VM instances, or storage buckets might not get deleted. In this case, you must delete these ephemeral resources manually.

A Cloud Storage bucket called ${PROJECT}-daisy-bkt-${REGION} is created for ephemeral resources created during the export process in the same region or multi-region as the target bucket. To manage the lifecycle of these resources, see Object lifecycle management.

The export process uses Cloud Build to export an image. A Cloud Build session lasts for a maximum of 24 hours. If your image is very large and it needs more than 24 hours to be exported, you can export the image manually.

VPC Service Controls limitations

For projects that are protected with VPC Service Controls, use one of the following methods:

  • export from the same project where the image resides
  • export the image manually

Export an image with a single command

Export an image to Cloud Storage

You can export your images using either the Google Cloud console, the Google Cloud CLI, or REST.

Console

  1. In the Google Cloud console, go to the Images page.

    Go to Images

  2. Click the name of the image that you want to export to go to the image details page. You can't export public images provided by Google. You can only export images that you previously created or imported.

  3. From the image details page, click Export to open the Export Image page.

  4. From the Export image page, choose the Export format of the image.

  5. Choose the Cloud Storage location to export your image to by clicking Browse.

  6. Choose an existing Cloud Storage location to export your image. Or, follow the directions to create a new Cloud Storage bucket, and then enter a name for the new Cloud Storage bucket.

  7. Once you choose a Cloud Storage, choose a filename for the exported image. You can use the default filename, or you can choose your own filename.

  8. After choosing a Cloud Storage, and entering a filename for the image, click Select.

  9. From the Export image page, click Export. After choosing Export, the Google Cloud console displays the Image export history, where you can view the image export process. For additional details about the image export process, click the Cloud Build ID to go to the Image export details page where you can view and download the image export log.

  10. Go to the Storage page to access your exported image.

    Go to Storage

gcloud

The preferred way to export an image to Cloud Storage is to use the gcloud compute images export command. This command uses Daisy to chain together the multiple steps that are required to export an image.

The gcloud compute images export command assumes that you have already created an image—for example, with the gcloud compute images create command.

Using the Google Cloud CLI, run:

gcloud compute images export \
    --destination-uri DESTINATION_URI \
    --image IMAGE_NAME

Replace the following:

  • DESTINATION_URI: the Cloud Storage URI destination for the exported image file.
  • IMAGE_NAME: the name of the disk image to export.

By default, images are exported in the Compute Engine format, which is a disk.raw file that is tarred and gzipped. To export images in other formats supported by the QEMU disk image utility, you can use the --export-format flag. Valid formats include vmdk, vhdx, vpc, vdi, and qcow2.

Example

For example, the following command exports an image named my-image from my-project to a Cloud Storage bucket named my-bucket. By default, the image is exported as a disk.raw file and is compressed into the tar.gz file format.

gcloud compute images export \
    --destination-uri gs://my-bucket/my-image.tar.gz \
    --image my-image \
    --project my-project

For flags, see the gcloud compute images export reference documentation.

REST

Send a POST request to the Cloud Build API.

POST https://cloudbuild.googleapis.com/v1/projects/PROJECT_ID/builds
{
  "timeout": "7200s",
  "steps":[
    {
      "args":[
        "-timeout=7000s",
        "-source_image=SOURCE_IMAGE",
        "-client_id=api",
        "-format=IMAGE_FORMAT",
        "-destination_uri=DESTINATION_URI"
      ],
      "name":"gcr.io/compute-image-tools/gce_vm_image_export:release",
      "env":[
        "BUILD_ID=$BUILD_ID"
      ]
    }
  ],
  "tags":[
    "gce-daisy",
    "gce-daisy-image-export"
  ]
}

Replace the following:

  • PROJECT_ID: the project ID for the project that contains the image that you want to export.
  • SOURCE_IMAGE: the name of the image to be exported.
  • IMAGE_FORMAT: the format of the exported image. Valid formats include vmdk, vhdx, vpc, vdi, and qcow2.
  • DESTINATION_URI: the Cloud Storage URI location that you want to export the image file to. For example, gs://my-bucket/my-exported-image.vmdk.

For additional args values that can be provided, see the optional flags section of the VM image export GitHub page.

Example response

The following sample response resembles the output that is returned:

{
"name": "operations/build/myproject-12345/operation-1578608233418",
"metadata": {
 "@type": "type.googleapis.com/google.devtools.cloudbuild.v1.BuildOperationMetadata",
 "build": {
  "id": "3a2055bc-ccbd-4101-9434-d376b88b8940",
  "status": "QUEUED",
  "createTime": "2019-10-02T18:59:13.393492020Z",
  "steps": [
   {
    "name": "gcr.io/compute-image-tools/gce_vm_image_export:release",
    "env": [
     "BUILD_ID=3a2055bc-ccbd-4101-9434-d376b88b8940"
    ],
    "args": [
     "-timeout=7056s",
     "-source_image=my-image",
     "-client_id=api",
     "-format=vmdk",
     "-destination_uri=gs://my-bucket/my-exported-image.vmdk"
    ]
   }
  ],
  "timeout": "7200s",
  "projectId": "myproject-12345",
  "logsBucket": "gs://123456.cloudbuild-logs.googleusercontent.com",
  "options": {
   "logging": "LEGACY"
  },
  "logUrl": "https://console.cloud.google.com/cloud-build/builds/3a2055bc-ccbd-4101-9434-d376b88b8940?project=123456"
 }
 }

There are a couple ways you can monitor your build:

  • Run a projects.builds.get request using the returned build-id.
  • Review the logs hosted at the provided logUrl.

Export an image from a project using a custom Compute Engine service account

During an image export, a temporary virtual machine (VM) instance is created in your project. The image export tool on this temporary VM must be authenticated.

A service account is an identity that is attached to a VM. Service account access tokens can be accessed through the instance metadata server and used to authenticate the image export tool on the VM.

By default, the export process uses the project's default Compute Engine Service Agent. However, if the default Compute Engine service account is disabled in your project or if you want to use a custom Compute Engine service account, then you need to create a service account and specify it for the export process.

You can export your images using either the Google Cloud CLI, or REST.

gcloud

  1. Create a service account and assign the minimum roles. For more information about creating service accounts, see Creating and managing service accounts.

    At minimum, the specified Compute Engine service account needs to have the following roles assigned:

    • roles/compute.storageAdmin
    • roles/storage.objectAdmin

    For more information, see Grant required roles to the Compute Engine service account.

  2. Use the gcloud compute images export command to export the image.

    gcloud compute images export \
    --destination-uri DESTINATION_URI \
    --image IMAGE_NAME \
    --compute-service-account SERVICE_ACCOUNT_EMAIL

    Replace the following:

    • DESTINATION_URI: the Cloud Storage URI destination for the exported image file.
    • IMAGE_NAME: the name of the disk image to export.
    • SERVICE_ACCOUNT_EMAIL: the email address associated with the Compute Engine service account created in the previous step.

Example

For example, the following command exports an image named my-image from my-project to a Cloud Storage bucket named my-bucket with a service account that has the email image-export-service-account@proj-12345.iam.gserviceaccount.com. By default, the image is exported as a disk.raw file and is compressed into the tar.gz file format.

gcloud compute images export \
    --destination-uri gs://my-bucket/my-image.tar.gz \
    --image my-image \
    --project my-project \
    --compute-service-account image-export-service-account@proj-12345.iam.gserviceaccount.com

For flags, see the gcloud compute images export reference documentation.

REST

  1. Create a service account and assign the minimum roles. For more information about creating service accounts, see Creating and managing service accounts.

    At minimum, the specified Compute Engine service account needs to have the following roles assigned:

    • roles/compute.storageAdmin
    • roles/storage.objectAdmin

    For more information, see Grant required roles to the Compute Engine service account.

  2. In the API, create a POST request to the Cloud Build API.

    POST https://cloudbuild.googleapis.com/v1/projects/PROJECT_ID/builds
{
  "timeout": "7200s",
  "steps":[
    {
      "args":[
        "-timeout=7000s",
        "-source_image=SOURCE_IMAGE",
        "-client_id=api",
        "-format=IMAGE_FORMAT",
        "-destination_uri=DESTINATION_URI",
        "-compute_service_account=SERVICE_ACCOUNT_EMAIL"
      ],
      "name":"gcr.io/compute-image-tools/gce_vm_image_export:release",
      "env":[
        "BUILD_ID=$BUILD_ID"
      ]
    }
  ],
  "tags":[
    "gce-daisy",
    "gce-daisy-image-export"
  ]
}

    Replace the following:

    • PROJECT_ID: the project ID for the project that contains the image that you want to export.
    • SOURCE_IMAGE: the name of the image to be exported.
    • IMAGE_FORMAT: the f ormat of the exported image. Valid formats include vmdk, vhdx, vpc, vdi, and qcow2.
    • DESTINATION_URI: the Cloud Storage URI location that you want to export the image file to. For example, gs://my-bucket/my-exported-image.vmdk.
    • SERVICE_ACCOUNT_EMAIL: the email address associated with the Compute Engine service account created in the previous step.

For additional args values that can be provided, see the optional flags section of the VM image export GitHub page.

Export an image using Shared VPC

Before you export an image that uses a shared VPC, you must add the compute.networkUser role to the Cloud Build service account in the project from where you export images. For more information, see Grant required roles to the Cloud Build service account.

You can export your image using either the Google Cloud CLI, or the REST.

gcloud

Use the gcloud compute images export command to export your image.

gcloud compute images export \
    --image IMAGE_NAME \
    --destination-uri DESTINATION_URI \
    --project PROJECT_ID \
    --network NETWORK \
    --subnet SUBNET \
    --zone ZONE

Replace the following:

  • IMAGE_NAME: the name of the image to export.
  • DESTINATION_URI: the Cloud Storage URI location that you want to export the image file to.
  • PROJECT_ID: ID of the project where the image is located.
  • NETWORK: the full path to a Shared VPC network. For example, projects/HOST_PROJECT_ID/global/networks/VPC_NETWORK_NAME.

  • SUBNET: Optional. The full path to a Shared VPC subnetwork. For example, projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNET_NAME.

    Specifying this mode depends on the VPC network mode.

    • If the VPC network uses legacy mode, don't specify a subnet.
    • If the VPC network uses auto mode, specifying the subnet is optional.
    • If the VPC network uses custom mode, then this field must be specified.

  • ZONE: Optional. The zone to use for the export. This zone must match the region of the subnet. For example, if the SUBNET is in the us-west1 region, the export zone must be one of the following: us-west1-a, us-west1-b or us-west1-c.

    If you specified a SUBNET, you must also specify the zone.

For example, the following command exports an image named example-image from my-project to a Cloud Storage bucket named my-bucket. In this example the Virtual Private Cloud network (my-shared-vp) uses a custom subnet (my-custom-subnet). By default, the image is exported as a disk.raw file and is compressed into the tar.gz file format.

Sample command

gcloud compute images export \
    --image example-image \
    --destination-uri gs://my-bucket/my-image.tar.gz \
    --project my-project \
    --network projects/my-vpc-project/global/networks/my-shared-vpc \
    --subnet projects/my-vpc-project/regions/us-west1/subnetworks/my-custom-subnet \
    --zone us-west1-c

REST

  1. Add the image to Cloud Storage.

  2. In the API, create a POST request to the Cloud Build API.

    POST https://cloudbuild.googleapis.com/v1/projects/PROJECT_ID/builds
{
  "timeout": "7200s",
  "steps":[
    {
      "args":[
        "-timeout=7000s",
        "-source_image=SOURCE_IMAGE",
        "-client_id=api",
        "-format=IMAGE_FORMAT",
        "-destination_uri=DESTINATION_URI",
        "-network=NETWORK",
        "-subnet=SUBNET",
        "-zone=ZONE"
      ],
      "name":"gcr.io/compute-image-tools/gce_vm_image_export:release",
      "env":[
        "BUILD_ID=$BUILD_ID"
      ]
    }
  ],
  "tags":[
    "gce-daisy",
    "gce-daisy-image-export"
  ]
}

    Replace the following:

    • PROJECT_ID: the project ID for the project that contains the image that you want to export.
    • SOURCE_IMAGE: the name of the image to be exported.
    • IMAGE_FORMAT: the format of the exported image. Valid formats include vmdk, vhdx, vpc, vdi, and qcow2.
    • DESTINATION_URI: the Cloud Storage URI location that you want to export the image file to. For example, gs://my-bucket/my-exported-image.vmdk.
    • NETWORK: the full path to a shared VPC network. For example, projects/HOST_PROJECT_ID/global/networks/VPC_NETWORK_NAME.

    • SUBNET: the full path to a Shared VPC subnetwork. For example, projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNET_NAME.

      Specifying this mode depends on the VPC network mode.

      • If the VPC network uses legacy mode, do not specify a subnet.
      • If the VPC network uses auto mode, specifying the subnet is optional.
      • If the VPC network uses custom mode, then this field must be specified.

    • ZONE: the zone to use for the export. This zone must match the region of the subnet. For example, if the SUBNET is in the us-west1 region, the export zone must be one of the following: us-west1-a, us-west1-b or us-west1-c.

      In most cases specifying a zone is optional. If SUBNET is specified, zone must be specified.

    For additional args values that can be provided, see the optional flags section of the VM image export GitHub page.

Create and export an image manually

If the gcloud compute images create and gcloud compute images export commands do not meet your requirements, you can create and export an image manually from a Compute Engine instance. This process has discrete steps to first create an image and then export an image.

In the following example, note the created disk is called image-disk.

To create and export an image:

  1. Optional: Stop the instance that the disk is attached to before you create the snapshot. Stopping the instance ensures the integrity of the disk contents in the snapshot.

  2. Create a snapshot of the disk. Name the snapshot image-snapshot.

    gcloud compute disks snapshot DISK_NAME \
    --snapshot-names image-snapshot

    Replace DISK_NAME with the name of the disk that you want to use to create the snapshot. You can find the name of the disk by listing disks.

  3. Use the image-snapshot snapshot to create a new disk named image-disk by running the following command:

    gcloud compute disks create image-disk \
    --source-snapshot image-snapshot

  4. Create a temporary disk named temporary-disk to hold your tar file, and specify the SIZE of the disk to be at least 50% larger than the image disk.

    You can detach and delete the disk afterwards.

    gcloud compute disks create temporary-disk \
    --size SIZE

    where SIZE is the size, in gigabytes or terabytes, of the temporary disk. For example, specify 100GB to create a 100-gigabyte disk.

  5. Create an instance and enable storage-rw scope on the instance. Also, attach the image-disk and the temporary-disk to the instance as secondary disks with specific device-name attributes. Replace VM_NAME with the name of the instance to create.

    gcloud compute instances create VM_NAME \
    --scopes storage-rw \
    --disk name=image-disk,device-name=image-disk \
    --disk name=temporary-disk,device-name=temporary-disk

    Note that you're passing in service account scopes so that you can upload your file to Cloud Storage in later steps.

    Review the details about starting a new instance if necessary.

  6. Connect to your instance. Replace VM_NAME with the name of the instance to connect to.

    gcloud compute ssh VM_NAME

  7. Format and mount the temporary disk. Formatting the disk deletes the contents of the temporary disk.

    sudo mkdir /mnt/tmp
     
    sudo mkfs.ext4 -F /dev/disk/by-id/google-temporary-disk
     
    sudo mount -o discard,defaults /dev/disk/by-id/google-temporary-disk /mnt/tmp

  8. Optional: Mount the image disk and make additional changes before you create the tar file. For example, you might want to delete any existing files from the /home directory if you do not want them to be part of your image. Mount the disk partitions that you need to modify, modify the files on the disk that you need to change, and then unmount the disk when you are done.

    1. Create a directory where you can mount your disk or partition.

      sudo mkdir /mnt/image-disk

    2. Use the ls command to determine which disk or disk partition you need to mount.

      ls /dev/disk/by-id/

      The command prints a list of disk IDs and partitions. For example, the following disk has a partition table with one partition. The google-image-disk ID points to the full disk from which you want to create an image. The google-image-disk-part1 ID points to the first partition on this disk. Mount the partition if you need to make changes to the disk, then create the image from the full disk.

      google-image-disk
google-image-disk-part1

    3. Mount the disk or the partition. If your disk has a partition table, mount the individual partitions for your disk. For example, mount google-image-disk-part1.

      sudo mount /dev/disk/by-id/google-image-disk-part1 /mnt/image-disk

      Alternatively, if your disk is raw formatted with no partition table, mount the full google-image-disk disk.

      sudo mount /dev/disk/by-id/google-image-disk /mnt/image-disk

    4. Modify the files in the /mnt/image-disk directory to configure the files on the disk. As an example, you might remove the /mnt/image-disk/home/[USER]/.ssh/authorized_keys file to protect your SSH keys from being shared.

    5. After you have finished modifying files, unmount the disk.

      sudo umount /mnt/image-disk/

  9. Create a tar file of your image.

    When you finish customizing the files on the image disk, create a raw disk file on your temporary disk. The name of the raw disk image must be 'disk.raw':

     sudo dd if=/dev/disk/by-id/google-image-disk of=/mnt/tmp/disk.raw bs=4096

    Then create the tar.gz file:

    cd /mnt/tmp

    sudo tar czvf myimage.tar.gz disk.raw

    This command creates an image of the instance in the following location:

    /mnt/tmp/myimage.tar.gz

  10. Upload the image into Cloud Storage.

    To upload the tar file to Cloud Storage, use the Google Cloud CLI that comes preinstalled on your instance.

    1. Create a bucket using the gcloud CLI.

      Make sure to review the bucket and object naming guidelines before you create your bucket. Then, create your bucket using the following command. Replace BUCKET_NAME with the name of the bucket to create.

      me@example-instance:~$ 
gcloud storage buckets create gs://BUCKET_NAME

    2. Copy your file to your new bucket. Replace BUCKET_NAME with the name of the bucket to copy the file to.

      me@example-instance:~$ 
gcloud storage cp /mnt/tmp/myimage.tar.gz gs://BUCKET_NAME

You have exported your file into Cloud Storage. You can now share the image with other people, or use the tar file to add a new image to a Google Cloud console project.

What's next